An Ensemble Smoother with Error Estimates

By P. V. Leeuwen. 2001

64 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5e3237630fa26a8291d256adfed02c87f8372957

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In Atmospheric Science

In Global and Planetary Change

Citations in the corpus

A comparison of error subspace Kalman filters (2005, background): “For nonlinear models this can occur, e.g., if the analyzed covariance is small, see van Leeuwen (2001) .”
A variance-minimizing filter for large-scale applications (2003, unknown): “Here, we used a ﬁeld derived from in situ measurements, as is also used in van Leeuwen (1999, 2001).”
Carbon flux bias estimation employing Maximum Likelihood Ensemble Filter (MLEF) (2007, background): “…and Robinson , 1999; Hamill and Snyder , 2000; Keppenne , 2000; Mitchell and Houtekamer , 2000; Anderson , 2001; Bishop et al. , 2001; van Leeuwen , 2001; Reichle et al. , 2002; Whitaker and Hamill , 2002; Tippett et al. , 2003; Zhang et al. , 2004; Ott et al. , 2004; Szunyogh et al. ,…”
History matching time-lapse seismic data using the ensemble Kalman filter with multiple data assimilations (2012, background): “Another potential application of MDA is for the ensemble smoother (ES) [45, 46].”
Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction (2005, background): “Also note that the EnKF correction is variance minimizing only for Gaussian ensemble distributions (van Leeuwen, 2001).”
Inverse problems: A Bayesian perspective (2010, background): “Recent contributions to the study of filtering in the context of the high-dimensional systems of interest in geophysical applications include Bergemann and Reich (2010), Cui et al. (2010), Chorin and Krause (2004), Chorin and Tu (2009, 2010), Majda and Grote (2007), Majda and Gershgorin (2008), Majd”
The Ensemble Kalman Filter: theoretical formulation and practical implementation (2003, methodology): “This method has later been examined in Evensen (1997) with the Lorenz attractor; applied with a QG model to find a steady mean flow by van Leeuwen (1999b) and for the time dependent problem in van Leeuwen (2001); and for fish stock assessment by Gronnevik and Evensen (2001).”